Feature Extraction
Transformers
TensorBoard
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use comet24082002/finetuned_bge_ver15 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use comet24082002/finetuned_bge_ver15 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="comet24082002/finetuned_bge_ver15")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("comet24082002/finetuned_bge_ver15") model = AutoModel.from_pretrained("comet24082002/finetuned_bge_ver15", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a48cc047e351a03bcecfcce3342da0c34c08127a144b557e0a64b8fdf3cd54bb
- Size of remote file:
- 6.65 kB
- SHA256:
- 05668d4ef62cf87a8e295a0d15d5228e0f6fe5b3c93731a434ef6a580a88e524
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